Anpassen eines linearen Modells
Passen wir jetzt ein lineares Modell an und legen es in der Variablen
Runs.LM ab. Wir nehmen dazu die Funktion lm(), die ein »klassisches« Regressionsmodell nach der
Methode der kleinsten Quadrate anpasst (oft als KQ-Regression abgekürzt):[74]
> (Runs.LM <- lm(Runs ~ Singles + Doubles + Triples + Homeruns + + Walks + Hit.by.Pitch + Sacrifice.Flies + + Stolen.Bases + Caught.Stealings, + data = Team.Batting.00bis08)) Call: lm(formula = Runs ~ Singles + Doubles + Triples + Homeruns + Walks + Hit.by.Pitch + Sacrifice.Flies + Stolen.Bases + Caught.Stealings, data = Team.Batting.00bis08) Coefficients: (Intercept) Singles Doubles Triples -507.16020 0.56705 0.69110 1.15836 Homeruns Walks Hit.by.Pitch Sacrifice.Flies 1.47439 ...
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